Senior Software Engineer, Embedded, Pixel Camera

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Senior Software Engineer, Embedded for the Pixel Camera. You will design and optimize the camera stack, focusing on low-level software, performance, power, and reliability while collaborating with Android and hardware teams.

The role emphasizes ML deployment on devices, camera tuning, and sensor integration (gyro, accelerometer, ALS) to elevate image quality. Strong C/C++ skills, embedded OS experience, and a deep background in CMOS sensors are

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in low level systems programming languages (e.g. C++ or C).
• 5 years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies.
• 3 years of experience working with embedded operating systems.
• 3 years of experience Machine Learning model development, optimization, and deployment.

Responsibilities

• Lead the design, development, and implementation of core exposure control software and algorithms for the Pixel camera Auto Exposure.
• Machine Learning (ML) Deployment: Develop, iterate, and deploy cutting-edge ML algorithms directly onto devices, focusing on constrained environments.
• Drive cross-functional collaboration with internal Google teams, integrating environmental sensor data to enhance and assist camera performance across multiple projects.
• Optimize the performance, power consumption, and memory footprint of the Pixel camera AE software stack to deliver a seamless user experience.
• Contribute to the camera tuning process and final image quality evaluation of Google Pixel products.

Skills

C/C++

Embedded systems

Camera 3A tuning

CMOS sensors

Embedded OS

ML deployment

Education

Bachelor's degree

Job description

Senior Software Engineer, Embedded, Pixel Camera

Share Senior Software Engineer, Embedded, Pixel Camera

Google Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in low level systems programming languages (e.g. C++ or C).
• 5 of years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies.
• 3 years of experience working with embedded operating systems.
• 3 years of experience Machine Learning model development, optimization, and deployment.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience deploying advanced ML architectures (e.g., deep learning, LLMs) for embedded systems, based on implementing and experimenting with algorithms, optimization, and deployment.
• Experience with the Android camera framework, machine learning architecture, image processing, camera tuning, and integrating peripheral sensors like gyro, accelerometer, and ALS.
• Ability with coding in C/C++ to optimize software stacks for performance, power consumption, and memory footprint.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Android and Pixel Camera team is a collection of sub-teams organized around different parts of the camera stack, with some teams focused on Pixel specifically and some focused on the wider Android ecosystem, our mission is to build innovative software experiences on the Pixel phones that leads the entire Android ecosystem. We're a team that's passionate about building excellent cameras and camera experiences to delight our users, partnering with teams across Google.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Lead the design, development, and implementation of core exposure control software and algorithms for the Pixel camera Auto Exposure.
• Machine Learning (ML) Deployment: Develop, iterate, and deploy cutting-edge ML algorithms directly onto devices, focusing on constrained environments. Implement and experiment with different state of art ML algorithms and model architectures, including but not limited to LLM, deep learning, distillation, etc.
• Drive cross-functional collaboration with internal Google teams, integrating environmental sensor data to enhance and assist camera performance across multiple projects,
• Optimize the performance, power consumption, and memory footprint of the Pixel camera AE software stack to deliver a seamless user experience.
• Contribute to the camera tuning process and final image quality evaluation of Google Pixel products.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.